Aliakbar Akbari
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Mechanical Engineering
- Co-authors
- Jan RosellFabien LagriffoulMajid HashemipourSener UysalAlexander PérezSara BernardiniMasoud GoharimaneshLydia E. Kavraki
- Topics
- Robotic Path Planning Algorithms (14 papers)AI-based Problem Solving and Planning (8 papers)Robot Manipulation and Learning (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringArtificial Intelligence
- Partner nations
- SpainIranUnited Kingdom
In The Last Decade
Aliakbar Akbari
26 papers receiving 299 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 158
- Control and Systems Engineering 145
- Artificial Intelligence 120
- Aerospace Engineering 43
- Mechanical Engineering 42
Countries citing papers authored by Aliakbar Akbari
This map shows the geographic impact of Aliakbar Akbari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aliakbar Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliakbar Akbari more than expected).
Fields of papers citing papers by Aliakbar Akbari
This network shows the impact of papers produced by Aliakbar Akbari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aliakbar Akbari. The network helps show where Aliakbar Akbari may publish in the future.
Co-authorship network of co-authors of Aliakbar Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Aliakbar Akbari. A scholar is included among the top collaborators of Aliakbar Akbari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aliakbar Akbari. Aliakbar Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 16 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | Integrated task and motion planning using physics-based heuristics | 0 |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 41 | |
| 20 | 8 |
About Aliakbar Akbari
Aliakbar Akbari is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology, having authored 27 papers that have together received 320 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), AI-based Problem Solving and Planning (8 papers) and Robot Manipulation and Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (158 citations), Control and Systems Engineering (145 citations) and Artificial Intelligence (120 citations). Aliakbar Akbari has collaborated with scholars based in Spain, Iran and United Kingdom. Frequent co-authors include Jan Rosell, Fabien Lagriffoul, Majid Hashemipour, Sener Uysal, Alexander Pérez, Sara Bernardini, Masoud Goharimanesh, Lydia E. Kavraki, Neil T. Dantam and Caelan Reed Garrett. Their work appears in journals such as Sensors, Applied Sciences and Robotics and Autonomous Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.